The two ribosomal protein<i>L23A</i>genes are differentially transcribed in<i>Arabidopsis thaliana</i>
Bibliographic record
Abstract
Arabidopsis thaliana ribosomal protein (r-protein) L23A (RPL23A) is a member of the conserved L23/L25 family of primary ribosomal RNA (rRNA) binding proteins. The 2 AtRPL23A isoforms, RPL23A-1 and RPL23A-2, are 94% identical at the amino acid level, yet RPL23A-1 and RPL23A-2 share only approximately 40-50% primary sequence identity within the 5' regulatory regions. While the RPL23A-1 and -2 5' regulatory regions share many similar predicted motifs, the arrangement and number of these motifs differs between the 2 genes. Differences in regulation between RPL23A-1 and -2 have been investigated via reverse transcription-PCR (RT-PCR) expression profiles. Overall, transcript abundance for RPL23A-1 and -2 varied slightly in specific tissues and under some abiotic stresses. The highest transcript abundance for both RPL23A genes was detected in mitotically active tissues such as bud, flower and elongating carpel, as well as in root and stem while the lowest transcript levels were found in mature leaf and bract. Hormone-treated seedlings showed increased RPL23A-1 and -2 transcript levels following IAA and BAP treatment while ABA treatment resulted in a transient lowering of transcript levels. Expression patterns differed between RPL23A-1 and -2 in cold-, wound-, and copper-stressed seedlings. In all tissues examined, RPL23A-2 transcript levels were consistently lower than those of RPL23A-1. This report shows differential transcriptional regulation of the 2 RPL23A genes, which should no longer be identified as "housekeeping" genes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".